Data-Driven Engineering Design Paperback / softback
by Ang Liu, Yuchen Wang, Xingzhi Wang
Paperback / softback
Description
This book addresses the emerging paradigm of data-driven engineering design.
In the big-data era, data is becoming a strategic asset for global manufacturers.
This book shows how the power of data can be leveraged to drive the engineering design process, in particular, the early-stage design. Based on novel combinations of standing design methodology and the emerging data science, the book presents a collection of theoretically sound and practically viable design frameworks, which are intended to address a variety of critical design activities including conceptual design, complexity management, smart customization, smart product design, product service integration, and so forth.
In addition, it includes a number of detailed case studies to showcase the application of data-driven engineering design.
The book concludes with a set of promising research questions that warrant further investigation. Given its scope, the book will appeal to a broad readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:197 pages, 51 Illustrations, color; 4 Illustrations, black and white; IX, 197 p. 55 illus., 51 illus
- Publisher:Springer Nature Switzerland AG
- Publication Date:10/10/2022
- Category:
- ISBN:9783030881832
Other Formats
- Hardback from £48.89
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:197 pages, 51 Illustrations, color; 4 Illustrations, black and white; IX, 197 p. 55 illus., 51 illus
- Publisher:Springer Nature Switzerland AG
- Publication Date:10/10/2022
- Category:
- ISBN:9783030881832
